Young care leavers' expectations of their future: A question of time horizon

This paper investigates young care leavers' expectations of their future after discharge from care. The results are based on qualitative longitudinal data where 16‐ to 21‐year‐old care leavers (n = 15) were interviewed twice, first when still in care but planning for their discharge (T1) and the second time 6–9 months later (T2). The analysis using a general inductive approach showed that their expectations were dependent on the time horizon and that there was an obvious difference between the young informants' short‐ and long‐term expectations. Their short‐term expectations consisted of worries connected to their approaching discharge (at T1) and how to cope with challenges of everyday life after discharge from care (at T2). These results seem to echo negative outcomes shown in previous quantitative research. However, the informants' long‐term expectations provide a different picture, being mainly positive in both interviews (T1 and T2). The results are discussed from a life course perspective, where the informants' visions of their future are framed and understood in terms of the different stages of their transition process.     

Survival functions for the frailty models based on the discrete compound Poisson process

Frailty models are often used to model heterogeneity in survival analysis. The distribution of the frailty is generally assumed to be continuous. In some circumstances, it is appropriate to consider discrete frailty distributions. Having zero frailty can be interpreted as being immune, and population heterogeneity may be analysed using discrete frailty models. In this paper, survival functions are derived for the frailty models based on the discrete compound Poisson process. Maximum likelihood estimation procedures for the parameters are studied. We examine the fit of the models to earthquake and the traffic accidents’ data sets from Turkey.     

Monte Carlo Simulation Study of Biased Estimators in the Linear Regression Models with Correlated or Heteroscedastic Errors

In this study, the performance of the estimators proposed in the presence of multicollinearity in the linear regression model with heteroscedastic or correlated or both error terms is investigated under the matrix mean square error criterion. Structures of the autocorrelated error terms are given and a Monte Carlo simulation study is conducted to examine the relative efficiency of the estimators against each other.     

An alternative algorithm of the empirical likelihood estimation for the parameter of a linear regression model

ABSTRACT

Empirical likelihood (EL) is a nonparametric method based on observations. EL method is defined as a constrained optimization problem. The solution of this constrained optimization problem is carried on using duality approach. In this study, we propose an alternative algorithm to solve this constrained optimization problem. The new algorithm is based on a newton-type algorithm for Lagrange multipliers for the constrained optimization problem. We provide a simulation study and a real data example to compare the performance of the proposed algorithm with the classical algorithm. Simulation and the real data results show that the performance of the proposed algorithm is comparable with the performance of the existing algorithm in terms of efficiencies and cpu-times.     

A Prediction-Oriented Criterion for Choosing the Biasing Parameter in Liu Estimation

Distribution-free tests have been proposed in the literature for comparing the hazard rates of two probability distributions when the available samples are complete. In this article, we generalize the test of Kochar (1981 Kochar , S. C. ( 1981 ). A new distribution-free test for the equality of two failure rates . Biometrika 68 : 423 – 426 .[Crossref], [Web of Science ®] , [Google Scholar]) to the case when the available sample is Type-II censored, and then examine its power properties.     

Comment on Ridge Estimation to the Restricted Linear Model

In this note, we show that the estimator and the following results given by Zhong and Yang (2007 Zhong , Z. , Yang , H. ( 2007 ). Ridge estimation to the restricted linear model . Commun. Statist. Theor. Meth. 36 : 2099 – 2115 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) are the same with that of Groß (2003 Groß , J. ( 2003 ). Restricted ridge estimation . Statist. Probab. Lett. 65 : 57 – 64 .[Crossref], [Web of Science ®] , [Google Scholar]).     

Combining Unbiased Ridge and Principal Component Regression Estimators

In the presence of multicollinearity problem, ordinary least squares (OLS) estimation is inadequate. To circumvent this problem, two well-known estimation procedures often suggested are the unbiased ridge regression (URR) estimator given by Crouse et al. (1995 Crouse , R. , Jin , C. , Hanumara , R. ( 1995 ). Unbiased ridge estimation with prior information and ridge trace . Commun. Statist. Theor. Meth. 24 : 2341 – 2354 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) and the (r, k) class estimator given by Baye and Parker (1984 Baye , M. , Parker , D. ( 1984 ). Combining ridge and principal component regression: a money demand illustration . Commun. Statist. Theor. Meth. 13 : 197 – 205 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]). In this article, we proposed a new class of estimators, namely modified (r, k) class ridge regression (MCRR) which includes the OLS, the URR, the (r, k) class, and the principal components regression (PCR) estimators. It is based on a criterion that combines the ideas underlying the URR and the PCR estimators. The standard properties of this new class estimator have been investigated and a numerical illustration is done. The conditions under which the MCRR estimator is better than the other two estimators have been investigated.     

Gendered projects of national identity formation: The case of Turkey

The consolidation of the Turkish Republic in 1923 took place in opposition to multiple ‘others’ – that is, multiple ideologies with alternative models of modernity and state formation. An important aspect of the resulting negotiations was their gendered nature. This article explores the multiplicity of subject-positions made available to women using the nationalist literary production of the first half of the twentieth century. By linking literary production with the official discourse, it argues that blurring the distinction between public and private discourses can better capture the gendered character of the nationalist discourse. The analysis details the common denominators between articulations about women's bodies and familial ties, and the building of a nationalist discourse. In these works, typologies of mothers, fathers, daughters, step and adopted ones, and those female figures seen as threats to these families tallied with the ongoing attempts to popularise a particular imagining of the nation. The desired unity of the republic, figuring in these roles, seemed to depend on controlling, taming and erasing a variety of designated identities and ideologies.     

Lingerie,Bikinis and the Headscarf

By tracing the repetitive visual themes and motifs contained in depictions of Muslim female migrants, this study aims to shed light on the various ways the German print media have tackled the issue of migration and represented cultural difference. An analysis of such images suggests that there are three major categories through which female migrants in Germany are visualized: (1) images that focus on alienation and lack of interaction with Muslims; (2) images that focus on contrasting life styles in shared spaces; and (3) images that construct the traditional and the modern via the female body. In most instances these images are not used to provide information about the circumstances of Muslim female migrants in Germany, but rather to make a statement about Muslim migrants in general and underline their lack of integration into the host society. Different visual conventions are recurrently used in each of these categories, creating patterns in the representation of migration. This study explores the visual conventions recurrent in each category and the ways they stereotype Muslim female migrants in Germany.     

The impact of sense of coherence and high-demand/low-control job environment on self-reported health,burnout and psychophysiological stress indicators

Sense of Coherence (SOC) is a new concept belonging to a salutogenic paradigm, proposing to explain health as contrasted to disease, a pathogenic paradigm. The Job Demand-Control (JDC) model of job stress suggests that the combination of high job demands and low job control, defined as job strain, is strongly associated with adverse health consequences. The aim of this study was to evaluate the relationship between SOC and the JDC model in assessment of negative job effects within three pathogenically defined contexts: self-reported health, burnout and psychophysiological stress indicators, assessing the explanatory value of SOC for such variables. The study was conducted with 103 employees of social-welfare and social-insurance agencies in Sweden. A questionnaire related to job conditions, health and burnout was administered, and blood samples were collected and analysed for serum concentrations of cortisol, prolactin and immunoglobulin G. Multiple-regression models were calculated including variables from all three contexts. In the analyses, a distinction was made between emotional job strain and quantitative job strain. The SOC interacted with emotional job strain, but the interaction also increased the independent effect of emotional job strain. The independent effect of SOC disappeared in most models when interaction was included. It is concluded that studies of job strain-effects according to the JDC model should include the SOC as an interaction factor.